Senior data engineer

Overview

As a Senior Data Engineer at bp, you will design, build and operate scalable data platforms and pipelines to enable data-driven decision making in Finance. You will lead technical delivery, set engineering standards, and collaborate across cross-functional teams to transform business requirements into robust data solutions. You will apply modern cloud data technologies to deliver secure, high-quality data products that scale with the business. This is a hands-on leadership role driving engineering excellence and data governance practices.

Pay / Benefits

• flexible working options
• generous paid parental leave
• excellent retirement benefits
• reasonable accommodation during recruitment
• diverse and inclusive environment

Responsibilities

• Design, develop and maintain scalable data pipelines and integrations
• Build and operate cloud-based data platforms and data products
• Develop reusable frameworks and automation to accelerate delivery
• Ensure data solutions are secure, performant, resilient and cost-efficient
• Implement CI/CD, automated testing, monitoring and observability
• Translate business requirements into data models and technical solutions
• Design logical and physical data models for reporting, analytics, AI and operations
• Collaborate with architects to align solutions with standards
• Evaluate new technologies and propose platform improvements
• Support data governance, quality, lineage and metadata management
• Ensure regulatory, audit and control requirements are met
• Provide technical leadership and mentor data engineers
• Collaborate with Product Managers, Data Scientists, AI Engineers and Finance stakeholders
• Contribute to engineering standards and continuous improvement initiatives

Key requirements

• Significant experience delivering enterprise-scale data engineering solutions
• Strong SQL and data modelling expertise
• Experience with cloud data platforms; Azure experience preferred
• Experience building ELT/ETL pipelines and data integration
• Strong software engineering practices: source control, testing, CI/CD, automation
• Experience with big data, streaming and modern data architectures
• Knowledge of security, access controls and data governance requirements
• Strong problem-solving and systems-thinking
• Ability to balance strategic design with hands-on delivery
• Strong partner management and communication skills
• Azure cloud data platforms (preferred)
• Databricks
• Snowflake or comparable cloud data platforms

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